Joachim Giesen

Computational Mechanics · 2004–2012

A researcher in the Science corpus: 4 papers; trusts 13 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Joachim Giesen trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Tamal K. Dey
  2. Chih-Jen Lin
  3. Saharon Rosset
  4. Nina Amenta
  5. Masayuki Karasuyama
  6. Trevor J. Hastie
  7. Bernd Gärtner
  8. Samrat Goswami
  9. Ji Zhu
  10. Hongkai Zhao

Who trusts Joachim Giesen overall

  1. Martin Jaggi
  2. M. Kazhdan
  3. Anton Osokin
  4. Hui Huang
  5. Hugues Hoppe
  6. Jean-Baptiste Alayrac

Papers from Joachim Giesen's perspective

Ordered by how strongly the researchers Joachim Giesen trusts endorse each paper. Same corpus, a different order for every researcher.

  1. LIBSVM: A library for support vector machines
  2. Regression Shrinkage and Selection via the Lasso
  3. The Entire Regularization Path for the Support Vector Machine
  4. Gradient-based learning applied to document recognition
  5. A simple algorithm for homeomorphic surface reconstruction (SCG '00)
  6. Maximum-Margin Matrix Factorization
  7. Piecewise linear regularized solution paths
  8. An Exponential Lower Bound on the Complexity of Regularization Paths
  9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  10. Support-Vector Networks

Their papers